import numpy as np from numpy.testing import * from scipy.io.recaster import sctype_attributes, Recaster, RecastError class TestRecaster(TestCase): def test_init(self): # Setting sctype_list R = Recaster() assert set(R.sctype_list) == set(sctype_attributes().keys()), \ 'Default recaster should include all system types' T = np.float32 R = Recaster([T]) assert R.sctype_list == [T], 'Scalar type list not correctly set' # Setting tolerances R = Recaster() tols = R.default_sctype_tols() assert tols == R.sctype_tols, 'Unexpected tols dictionary' F = np.finfo(T) R = Recaster(sctype_tols={T: { 'rtol': F.eps*2, 'atol': F.tiny*2, 'silly': 'silly text'}}) assert R.sctype_tols[T]['rtol'] == F.eps*2, \ 'Rtol not correctly set' assert R.sctype_tols[T]['atol'] == F.tiny*2, \ 'Atol not correctly set' T = np.complex128 F = np.finfo(T) assert R.sctype_tols[T]['rtol'] == F.eps, \ 'Rtol defaults not correctly set' assert R.sctype_tols[T]['atol'] == F.tiny, \ 'Atol defaults not correctly set' # Options # Sctype size lists # Integer sizes # Cabable types def test_cast_to_fp(self): R = Recaster() # Define expected type output from fp recast of value sta = sctype_attributes() inp_outp = ( (1, np.complex128, 'c', sta[np.complex128]['size'], 0, np.complex128), (1, np.complex128, 'c', sta[np.complex128]['size'], 1, np.complex64), (1, np.complex128, 'c', sta[np.complex64]['size'], 0, np.complex64), (1, np.complex128, 'f', sta[np.float64]['size'], 0, np.float64), (1.0+1j, np.complex128, 'f', sta[np.complex128]['size'], 0, None), (1, np.float64, 'f', sta[np.float64]['size'], 0, np.float64), (1, np.float64, 'f', sta[np.float64]['size'], 1, np.float32), (1, np.float64, 'f', sta[np.float32]['size'], 0, np.float32), (1, np.float64, 'c', sta[np.complex128]['size'], 0, np.complex128), (1, np.float64, 'c', sta[np.complex128]['size'], 1, np.complex64), (1, np.int32, 'f', sta[np.float64]['size'], 0, np.float64), (1, np.int32, 'f', sta[np.float64]['size'], 1, np.float32), (1, np.float64, 'f', 0, 0, None), ) for value, inp, kind, max_size, continue_down, outp in inp_outp: arr = np.array(value, dtype=inp) arr = R.cast_to_fp(arr, kind, max_size, continue_down) if outp is None: assert arr is None, \ 'Expected None from type %s, got %s' \ % (inp, arr.dtype.type) continue assert arr is not None, \ 'Expected %s from %s, got None' % (outp, inp) dtt = arr.dtype.type assert dtt is outp, \ 'Expected %s from %s, got %s' % (outp, inp, dtt) def test_smallest_int_sctype(self): # Smallest int sctype with full recaster params = sctype_attributes() RF = Recaster() test_triples = [(np.uint8, 0, 255), (np.int8, -128, 0), (np.uint16, 0, params[np.uint16]['max']), (np.int16, params[np.int16]['min'], 0), (np.uint32, 0, params[np.uint32]['max']), (np.int32, params[np.int32]['min'], 0), (np.uint64, 0, params[np.uint64]['max']), (np.int64, params[np.int64]['min'], 0)] for T, mn, mx in test_triples: rt = RF.smallest_int_sctype(mx, mn) assert np.dtype(rt) == np.dtype(T), \ 'Expected %s, got %s type' % (T, rt) # Smallest int sctype with restricted recaster mmax = params[np.int32]['max'] mmin = params[np.int32]['min'] RR = Recaster([np.int32]) for kind in ('int', 'uint'): for T in np.sctypes[kind]: mx = params[T]['max'] mn = params[T]['min'] rt = RR.smallest_int_sctype(mx, mn) if mx <= mmax and mn >= mmin: assert rt == np.int32, \ 'Expected int32 type, got %s' % rt else: assert rt is None, \ 'Expected None, got %s for %s' % (T, rt) # Test preferred int flag mx = 1000 mn = 0 rt = RF.smallest_int_sctype(mx, mn) assert rt == np.int16, 'Expected int16, got %s' % rt rt = RF.smallest_int_sctype(mx, mn, 'i') assert rt == np.int16, 'Expected int16, got %s' % rt rt = RF.smallest_int_sctype(mx, mn, prefer='u') assert rt == np.uint16, 'Expected uint16, got %s' % rt def test_recasts(self): valid_types = [np.int32, np.complex128, np.float64] # Test smallest R = Recaster(valid_types, recast_options='smallest') inp_outp = ( (1, np.complex128, np.int32), (1, np.complex64, np.int32), (1.0+1j, np.complex128, np.complex128), (1.0+1j, np.complex64, np.complex128), (1, np.float64, np.int32), (1, np.float32, np.int32), (1.1, np.float64, np.float64), (-1e12, np.int64, np.float64), ) self.run_io_recasts(R, inp_outp) # Test only_if_none R = Recaster(valid_types, recast_options='only_if_none') inp_outp = ( (1, np.complex128, np.complex128), (1, np.complex64, np.int32), (1.0+1j, np.complex128, np.complex128), (1.0+1j, np.complex64, np.complex128), (1, np.float64, np.float64), (1, np.float32, np.int32), (1.1, np.float64, np.float64), (-1e12, np.int64, np.float64), ) self.run_io_recasts(R, inp_outp) # Test preserve_precision R = Recaster(valid_types, recast_options='preserve_precision') inp_outp = ( (1, np.complex128, np.complex128), (1, np.complex64, np.complex128), (1.0+1j, np.complex128, np.complex128), (1.0+1j, np.complex64, np.complex128), (1, np.float64, np.float64), (1, np.float32, np.float64), (1.1, np.float64, np.float64), (-1e12, np.int64, None), ) self.run_io_recasts(R, inp_outp) def run_io_recasts(self, R, inp_outp): ''' Runs sets of value, input, output tests ''' for value, inp, outp in inp_outp: arr = np.array(value, inp) if outp is None: self.assertRaises(RecastError, R.recast, arr) continue arr = R.recast(np.array(value, inp)) assert arr is not None, \ 'Expected %s from %s, got None' % (outp, inp) dtt = arr.dtype.type assert dtt is outp, \ 'Expected %s from %s, got %s' % (outp, inp, dtt) if __name__ == "__main__": run_module_suite()